Pith. sign in

Explain the Lean theorem `weight_polynomial_decay_summable` in module `IndisputableMonolith.NumberTheory.CostOperatorRegularity`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.

Big AI job. Grok 4.3 reads the canon and writes a Lean-grounded derivation; usually 20 seconds to 2 minutes. Your answer will appear below.
confidence: high in recognition cached

The declaration weight_polynomial_decay_summable asserts that polynomial decay of prime weights with exponent at least 1 implies square-summability of those weights.

(1) In plain English: given a function lamP assigning a real weight to each prime and a real ε ≥ 0 such that |lamP p| ≤ C / p^(1+ε) for some C > 0 and all primes p, the series ∑_p (lamP p)^2 converges.

(2) In Recognition Science this supplies a concrete sufficient condition for the bandwidth-derived decay WeightSquareSummable needed to place the cost operator T_J on a legitimate spectral footing inside the Hilbert space of finite-support states.

(3) The formal statement is a theorem with implicit parameters lamP : Nat.Primes → ℝ and ε : ℝ, explicit hypotheses hε : 0 ≤ ε and h : WeightDecayPolynomial lamP ε, and conclusion WeightSquareSummable lamP. The proof proceeds by comparison: the bound produces a pointwise majorant C² / p^(2(1+ε)) whose summability over primes follows from the injective pull-back of Real.summable_one_div_nat_rpow and scaling.

(4) Visible dependencies and certificates inside the supplied source are the definitions WeightDecayPolynomial and WeightSquareSummable, the implication chain regularity_chain, and the master certificate cost_operator_regularity_certificate that records the theorem as one of its three structural facts.

(5) The declaration does not prove essential self-adjointness, compact resolvent, or trace-class membership of the heat kernel; those remain open sub-conjectures encoded as hypothesis structures EssentialSelfAdjointness, CompactResolvent and TraceClassHeatKernel.

outside recognition

Aspects Recognition does not yet address:

  • Essential self-adjointness of the cost operator
  • Compact resolvent property
  • Trace-class heat kernel

recognition modules consulted

The Recognition library is at github.com/jonwashburn/shape-of-logic. The model is restricted to the supplied Lean source and instructed not to invent theorem names. Treat output as a starting point, not a verified proof.